Triple
T14535242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Jaffe Joffer |
E341025
|
entity |
| Predicate | fictionalNationality |
P15237
|
FINISHED |
| Object | Zamundan |
E1104807
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zamundan | Statement: [King Jaffe Joffer, fictionalNationality, Zamundan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamundan Context triple: [King Jaffe Joffer, fictionalNationality, Zamundan]
-
A.
Zamundan
chosen
Zamundan is a fictional African kingdom best known as the lavish homeland of Prince Akeem in the comedy film "Coming to America."
-
B.
Mondaino
Mondaino is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and traditional cultural festivals.
-
C.
Moratalaz
Moratalaz is a residential district in the east of Madrid, Spain, known for its grid-like urban layout and numerous parks and green spaces.
-
D.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
E.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab414dc8190a233185068cfb8ff |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:22 a.m.